A Novel Kernel for RBF Based Neural Networks
Radial basis function (RBF) is well known to provide excellent performance in function approximation and pattern classification. The conventional RBF uses basis functions which rely on distance measures such as Gaussian kernel of Euclidean distance (ED) between feature vector and neuron’s center, an...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2014-01-01
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| coleção: | Abstract and Applied Analysis |
| Acesso em linha: | http://dx.doi.org/10.1155/2014/176253 |
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